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I applied via Approached by Company and was interviewed before Sep 2021. There were 3 interview rounds.
Salary discusses boss and hr
Top trending discussions
I applied via Monster and was interviewed before Apr 2023. There were 3 interview rounds.
Question are hard in panel
I am currently earning a salary of $60,000 per year.
My current annual salary is $60,000
I am earning $5,000 per month
My total compensation package is $60,000
The company name is XYZ Corporation, a leading data analytics firm specializing in providing insights for businesses.
XYZ Corporation is a data analytics firm
Specializes in providing insights for businesses
It is very good in study for
Further studies.
I applied via Recruitment Consulltant and was interviewed before Nov 2023. There were 3 interview rounds.
Joins are used to combine rows from two or more tables based on a related column between them.
Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
INNER JOIN returns rows when there is at least one match in both tables.
LEFT JOIN returns all rows from the left table and the matched rows from the right table.
RIGHT JOIN returns all rows from the right table and the matched rows from the left table.
FULL ...
Aggregate functions are functions in databases that perform a calculation on a set of values and return a single value.
Aggregate functions are used to perform operations on a group of rows and return a single result.
Common aggregate functions include SUM, AVG, COUNT, MIN, and MAX.
For example, SUM function calculates the total of a column, AVG calculates the average, COUNT counts the number of rows, MIN finds the minimu
30 questions and time was approx. 45 min to 60 min
There were some basic as well as some high level questions
Basic aptitude questions
Coding questions hard level like matrix etc
posted on 24 Nov 2021
I applied via Recruitment Consultant
I was interviewed in Aug 2024.
Data sharding is the process of splitting a database into smaller, more manageable parts called shards.
Data sharding helps distribute data across multiple servers to improve performance and scalability.
Each shard contains a subset of the data, allowing for parallel processing and faster query times.
Common sharding techniques include range-based sharding, hash-based sharding, and key-based sharding.
Examples of data shar...
Clustering is a technique used in data analysis to group similar data points together based on certain criteria.
Clustering is an unsupervised machine learning technique.
It is used to discover hidden patterns or groupings in data.
Common clustering algorithms include K-means, hierarchical clustering, and DBSCAN.
Example: clustering customers based on their purchasing behavior to identify different market segments.
posted on 12 Aug 2024
I applied via Referral and was interviewed before Aug 2023. There was 1 interview round.
posted on 8 Aug 2024
posted on 31 Jul 2024
I applied via Job Portal and was interviewed in Jul 2024. There were 2 interview rounds.
Python programming for 45 for minutes
Hyperparameters of SVM include C, kernel, gamma, degree, and coef0.
C: Regularization parameter that controls the trade-off between achieving a low error on the training data and minimizing model complexity.
Kernel: Specifies the type of hyperplane used to separate the data.
Gamma: Kernel coefficient for 'rbf', 'poly', and 'sigmoid' kernels.
Degree: Degree of the polynomial kernel function.
Coef0: Independent term in kernel...
Hyperparameters can be tuned using techniques like grid search, random search, and Bayesian optimization.
Grid search: Exhaustively search through a specified subset of hyperparameters.
Random search: Randomly sample hyperparameter combinations.
Bayesian optimization: Use probabilistic models to predict the performance of different hyperparameter configurations.
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